Resource Center

Use cases

Eliminating vendor-related exposures

As organizations increasingly rely on a growing network of vendors, the complexity of related financial processes also increases – as does the risk of damage from unchecked exposures.

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Blog

Practical use of data risk mining & machine learning science for finding anomalies and implementing continuous controls in the organization

Explore how Data Science, Machine Learning, and AI are used to analyze transactions, detect anomalies, and combat fraud, embezzlement, bribery, and money laundering. Learn key principles for implementing effective monitoring and analysis tools.

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Calculators

Risk based calculator

Uncover the impact of detecting exposures faster and understanding them better.

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